Restructuring care: comparative policy developments
Bibliographic record
Abstract
The developments of early childhood education and care (ECEC) policy trajectories are shaped by various cultural, social and political contexts. Australia, the UK and Canada's respective approaches to supporting different forms of ECEC, and children and families more generally, were established at different times, and shaped by different groups of policy and public stakeholders. The feminist movement played a pivotal role in advocating for women's right to work and the expansion of childcare in all three countries; however, the way these movements played out, the actors involved, and their various goals and achievements diverged in critical ways. For example, trade unions, femocrats, and lobby groups played a significant role in Australia (Brennan, 2002); trade unions and local employers influenced the trajectory of childcare in the UK (Randall 1995, 1996); and federal-provincial negotiations are identified as a key factor in progress and retreat of childcare in Canada (Mahon and Phillips, 2002). The directions and goals of movements were largely shaped by collective beliefs, political and advocacy mobilisation and negotiations about what is best for mothers and children (Michel and Mahon, 2002). The development of policies and programmes also reflects different regional and local norms. Despite the distinct histories and care trajectories, there are clear patterns of convergence in the use of market mechanisms to fund and deliver ECEC and other care services (Brennan et al, 2012; Mahon et al, 2012). However, the marketisation of care services can reflect distinct processes of care restructuring. In liberal countries, including Australia, the UK and Canada, marketisation has fostered a different form of privatisation of care arrangements, compared with Nordic and southern European countries – from the private family to private services and commercial providers. Private providers include large corporations as well as individuals working largely in the informal sector. Australia, the UK and Canada have never had universal childcare, and therefore the restructuring of services in these countries cannot be explained as a shift away from universalism as in many Nordic and European countries (Brennan et al, 2012). In liberal countries, restructuring involved shifting priorities (between women and children), the redesign of funding and regulation to include and exclude different forms of subsidised childcare, and the introduction of policies and programmes targeting different groups of children and families.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.015 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.030 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".